882 lines
41 KiB
C#
882 lines
41 KiB
C#
// @region[weather-tool-backend]
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
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using Microsoft.AspNetCore.Http.Json;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.Options;
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using OpenAI;
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using System.ClientModel;
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using System.ComponentModel;
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using System.Net.Http;
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using System.Text.Json;
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using System.Text.Json.Serialization;
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WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
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builder.Services.ConfigureHttpJsonOptions(options =>
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{
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options.SerializerOptions.TypeInfoResolverChain.Add(SalesAgentSerializerContext.Default);
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// Serialize our enum types (SalesStage, Currency, FlightStatus) as their
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// member name strings rather than numeric ordinals. This keeps the wire
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// format human-readable and stable across enum re-ordering.
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options.SerializerOptions.Converters.Add(new JsonStringEnumConverter());
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});
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builder.Services.AddAGUI();
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// STOPGAP: IHttpContextAccessor lets AimockHeaderPolicy read the current
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// request's forwarded x-* headers (stashed on HttpContext.Items by
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// AimockHeaderMiddleware) at outbound-LLM-call time. HttpContext flows across
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// the AG-UI SSE-pump ExecutionContext boundary, unlike a middleware-set
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// AsyncLocal. TODO(copilotkit-sdk-dotnet): migrate to SDK-level header propagation.
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builder.Services.AddHttpContextAccessor();
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WebApplication app = builder.Build();
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// STOPGAP: seed the static accessor the outbound header-forwarding policy reads
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// (the policy is created without DI, mirroring CvDiag.Logger).
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AimockHeaderPolicy.HttpContextAccessor = app.Services.GetRequiredService<IHttpContextAccessor>();
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// STOPGAP: Extract x-* prefixed headers from incoming AG-UI requests onto HttpContext.Items
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// so AimockHeaderPolicy can forward them to outgoing OpenAI calls.
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// TODO(copilotkit-sdk-dotnet): migrate to SDK-level header propagation
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app.UseMiddleware<AimockHeaderMiddleware>();
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// CVDIAG: backend flap-observability emitter (plan unit L1-F; spec §3). OFF by
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// default (CVDIAG_BACKEND_EMITTER=on to arm). Seed the static singleton the
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// outbound LLM policy reads (created without DI), then register the
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// request-pipeline instrumentation AFTER AimockHeaderMiddleware so the forwarded
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// x-* correlation headers are already stashed on HttpContext.Items.
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CvdiagBackend.Instance = new CvdiagBackend();
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app.UseMiddleware<CvdiagInstrumentationMiddleware>();
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// Create the agent factory and map the AG-UI agent endpoint
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var loggerFactory = app.Services.GetRequiredService<ILoggerFactory>();
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// CVDIAG: seed the static logger used by AimockHeaderPolicy (created without DI)
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// to emit the outbound-LLM header-forwarding breadcrumb.
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CvDiag.Logger = loggerFactory.CreateLogger("CvDiag");
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var jsonOptions = app.Services.GetRequiredService<IOptions<JsonOptions>>();
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var agentFactory = new SalesAgentFactory(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/", agentFactory.CreateSalesAgent());
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var d5ParityFactory = new D5ParityAgentFactory(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/headless-complete", d5ParityFactory.CreateHeadlessCompleteAgent());
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app.MapAGUI("/voice", d5ParityFactory.CreateVoiceAgent());
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app.MapAGUI("/gen-ui-agent", d5ParityFactory.CreateGenUiAgent());
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app.MapAGUI("/gen-ui-tool-based", d5ParityFactory.CreateGenUiToolBasedAgent());
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app.MapAGUI("/shared-state-streaming", d5ParityFactory.CreateSharedStateStreamingAgent());
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app.MapAGUI("/readonly-state-agent-context", d5ParityFactory.CreateReadonlyStateAgentContext());
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app.MapAGUI("/tool-rendering", d5ParityFactory.CreateToolRenderingAgent(reasoning: false));
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app.MapAGUI("/tool-rendering-reasoning-chain", d5ParityFactory.CreateToolRenderingAgent(reasoning: true));
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// Interrupt-adapted agent: mounted on its own path so the Next.js runtime
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// can proxy the `gen-ui-interrupt` and `interrupt-headless` demo names to
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// it. The two demos share this single backend — the differentiation happens
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// on the frontend (in-chat picker vs. headless/app-surface picker).
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var interruptAgentFactory = new InterruptAgentFactory(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/interrupt-adapted", interruptAgentFactory.CreateInterruptAgent());
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// Multimodal demo agent (vision-capable gpt-4o-mini, no tools).
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// The Microsoft AG-UI ASP.NET adapter currently rejects AG-UI content arrays
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// before the agent can see image/document parts, so this one endpoint parses
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// the request body directly and emits the small AG-UI SSE event subset the
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// chat UI needs for text streaming.
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app.MapPost("/multimodal", (HttpContext context) => MultimodalEndpoint.HandleAsync(
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context,
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agentFactory.CreateMultimodalChatClient(),
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loggerFactory.CreateLogger("MultimodalEndpoint")));
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// Beautiful Chat flagship demo.
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app.MapAGUI("/beautiful-chat", agentFactory.CreateBeautifulChatAgent());
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// Agent Config demo — wraps a basic ChatClientAgent in AgentConfigAgent.
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app.MapAGUI("/agent-config", agentFactory.CreateAgentConfigAgent());
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// Reasoning demo — wraps a basic ChatClientAgent in ReasoningAgent via a
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// static factory that builds its own chat client off the shared OpenAI client.
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app.MapAGUI("/reasoning", agentFactory.CreateReasoningAgent());
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// Declarative Gen UI (instance factory — builds its own chat client).
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var declarativeGenUiAgent = new DeclarativeGenUiAgent(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/declarative-gen-ui", declarativeGenUiAgent.Create());
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// A2UI fixed-schema demo (instance factory).
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var a2uiFixedSchemaAgent = new A2uiFixedSchemaAgent(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/a2ui-fixed-schema", a2uiFixedSchemaAgent.Create());
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// Open Generative UI — basic + advanced.
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var openGenUiFactory = new OpenGenUiAgentFactory(builder.Configuration);
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app.MapAGUI("/open-gen-ui", openGenUiFactory.CreateAgent());
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var openGenUiAdvancedFactory = new OpenGenUiAdvancedAgentFactory(builder.Configuration);
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app.MapAGUI("/open-gen-ui-advanced", openGenUiAdvancedFactory.CreateAgent());
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// BYOC demos (hashbrown + json-render).
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var byocHashbrownFactory = new ByocHashbrownAgentFactory(builder.Configuration, loggerFactory);
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app.MapAGUI("/byoc-hashbrown", byocHashbrownFactory.CreateAgent());
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var byocJsonRenderFactory = new ByocJsonRenderAgentFactory(builder.Configuration, loggerFactory);
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app.MapAGUI("/byoc-json-render", byocJsonRenderFactory.CreateAgent());
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// MCP Apps demo.
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var mcpAppsFactory = new McpAppsAgentFactory(builder.Configuration, loggerFactory);
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app.MapAGUI("/mcp-apps", mcpAppsFactory.CreateMcpAppsAgent());
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// In-app HITL demo.
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var hitlInAppFactory = new HitlInAppAgentFactory(builder.Configuration, loggerFactory);
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app.MapAGUI("/hitl-in-app", hitlInAppFactory.CreateHitlInAppAgent());
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// In-chat HITL demo (useHumanInTheLoop). The `book_call` tool is defined
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// entirely on the frontend via the hook; this backend is a plain
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// ChatClientAgent with a system prompt that nudges the model to call it.
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// See agent/HitlInChatAgent.cs.
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var hitlInChatFactory = new HitlInChatAgentFactory(builder.Configuration, loggerFactory);
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app.MapAGUI("/hitl-in-chat", hitlInChatFactory.CreateHitlInChatAgent());
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// Shared State (Read + Write) demo. UI owns `preferences`, agent owns
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// `notes` via a `set_notes` tool. See agent/SharedStateReadWriteAgent.cs
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// for the pattern.
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var sharedStateReadWriteFactory = new SharedStateReadWriteAgentFactory(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/shared-state-read-write", sharedStateReadWriteFactory.CreateAgent());
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// Sub-Agents demo. Supervisor delegates to research / writing / critique
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// sub-agents via tools, recording each delegation in shared state for the
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// UI's live delegation log. See agent/SubagentsAgent.cs.
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var subagentsFactory = new SubagentsAgentFactory(builder.Configuration, loggerFactory, jsonOptions.Value.SerializerOptions);
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app.MapAGUI("/subagents", subagentsFactory.CreateAgent());
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app.MapGet("/health", () => Results.Ok(new { status = "ok" }));
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await app.RunAsync();
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// =================
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// State Management
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// =================
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// Stage of a deal in the sales pipeline. Modeled as an enum so callers and
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// the LLM's structured output both get a closed set of legal values, rather
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// than a free-form string that can drift. Serialized as the
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// enum member name via JsonStringEnumConverter on the JsonSerializerOptions.
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public enum SalesStage
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{
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Prospect,
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Qualified,
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Proposal,
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Negotiation,
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ClosedWon,
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ClosedLost,
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}
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// Currency code for deal values. Small closed set covers the demo use cases.
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// Previously `Value` was an `int` with no currency indication at all; we now
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// carry currency + decimal amount together.
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public enum Currency
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{
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USD,
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EUR,
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GBP,
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JPY,
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}
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public record SalesTodo
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{
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/// <summary>
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/// The stable identifier for this todo.
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/// </summary>
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/// <remarks>
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/// The empty string is a load-bearing sentinel meaning "no id yet;
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/// server should assign one". <see cref="SalesState.ReplaceTodos"/>
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/// backfills any todo with <c>Id == ""</c> by generating a fresh Guid
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/// (see that method's documentation). Callers that want to express
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/// "pending, please assign" should use <see cref="NewPending"/> rather
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/// than constructing with an arbitrary placeholder string.
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///
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/// <see langword="required"/> is retained for compile-time presence so
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/// callers have to acknowledge the id contract, but runtime validation
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/// does NOT reject the empty-string sentinel — that would break the
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/// server-assigned-id path described above.
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/// </remarks>
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[JsonPropertyName("id")]
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public required string Id { get; init; }
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/// <summary>
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/// Factory for "pending" todos: creates a SalesTodo with a
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/// freshly-generated Guid-derived id so the empty-string sentinel never
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/// leaks into code that doesn't understand the backfill contract.
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/// </summary>
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public static SalesTodo NewPending(
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string title = "",
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SalesStage stage = SalesStage.Prospect,
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decimal value = 0m,
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Currency currency = Currency.USD,
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DateOnly? dueDate = null,
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string assignee = "") => new()
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{
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// 16 hex chars = 64 bits of entropy. 8 chars was ~32 bits and
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// has a non-trivial collision risk at tens of thousands of
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// todos; 16 pushes collision risk well past demo scale.
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Id = Guid.NewGuid().ToString("n")[..16],
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Title = title,
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Stage = stage,
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Value = value,
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Currency = currency,
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DueDate = dueDate,
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Assignee = assignee,
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};
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[JsonPropertyName("title")]
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public string Title { get; init; } = "";
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[JsonPropertyName("stage")]
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public SalesStage Stage { get; init; } = SalesStage.Prospect;
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// Deal value as a decimal (money) with explicit currency. Previously an
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// `int` with no sign or currency semantics. The init accessor validates
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// non-negative — negative deal values are not a legal business state in
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// this demo.
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[JsonPropertyName("value")]
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public decimal Value
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{
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get => _value;
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init
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{
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if (value < 0m)
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{
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throw new ArgumentOutOfRangeException(
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nameof(value),
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value,
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"SalesTodo.Value must be non-negative.");
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}
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_value = value;
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}
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}
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private readonly decimal _value;
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[JsonPropertyName("currency")]
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public Currency Currency { get; init; } = Currency.USD;
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// Nullable DateOnly — previously a free-form string that accepted any
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// input. System.Text.Json serializes DateOnly as ISO-8601 "YYYY-MM-DD".
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[JsonPropertyName("dueDate")]
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public DateOnly? DueDate { get; init; }
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[JsonPropertyName("assignee")]
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public string Assignee { get; init; } = "";
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/// <summary>
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/// Whether this deal is finished (won or lost). Derived from
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/// <see cref="Stage"/> so that the pair cannot disagree: a Prospect deal
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/// cannot be "completed", and a ClosedWon/ClosedLost deal cannot be
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/// "incomplete". Previously <c>Completed</c> was an independent bool and
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/// contradictions like <c>{Stage=ClosedWon, Completed=false}</c> were
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/// representable.
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/// </summary>
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[JsonPropertyName("completed")]
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public bool Completed => Stage is SalesStage.ClosedWon or SalesStage.ClosedLost;
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}
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// SalesState is the server-side in-memory store, SalesStateSnapshot is the
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// wire-format JSON Schema sent to the model. Previously both carried near-
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// identical List<SalesTodo>. We consolidate: SalesState holds a
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// read-only list behind an encapsulated replacement API, and
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// SalesStateSnapshot is a minimal record that wraps the same list for
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// serialization.
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public sealed class SalesState
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{
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private IReadOnlyList<SalesTodo> _todos = Array.Empty<SalesTodo>();
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/// <summary>
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/// Current published todo list. Reads are lock-free: reference reads of
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/// a field are atomic on .NET, and the single writer
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/// (<see cref="ReplaceTodos"/>) publishes a new fully-materialized list
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/// by a single reference assignment. We use <see cref="Volatile.Read{T}"/>
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/// to prevent the JIT from hoisting the read past a synchronization
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/// boundary on the reader side.
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/// </summary>
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public IReadOnlyList<SalesTodo> Todos => Volatile.Read(ref _todos);
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/// <summary>
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/// Atomically replaces the todo list, backfilling any todo whose
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/// <see cref="SalesTodo.Id"/> is empty (or null) with a freshly-generated
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/// Guid-derived id. This is the explicit contract for callers that want
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/// server-assigned ids: pass a SalesTodo with <c>Id = ""</c> and this
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/// method generates a stable id for it. Non-empty ids are preserved as-is.
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/// </summary>
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/// <remarks>
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/// Generated ids are 16 hex chars (64 bits of entropy), derived from a
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/// fresh <see cref="Guid"/>. The write is a single reference assignment
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/// via <see cref="Volatile.Write{T}"/>, which is atomic and visible to
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/// readers without a lock.
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/// </remarks>
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public void ReplaceTodos(IEnumerable<SalesTodo> todos)
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{
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ArgumentNullException.ThrowIfNull(todos);
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var materialized = todos.Select(t => t with
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{
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// 16 hex chars = 64 bits. Previously 8 (32 bits) had a non-
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// trivial collision probability at tens of thousands of todos.
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Id = string.IsNullOrEmpty(t.Id) ? Guid.NewGuid().ToString("n")[..16] : t.Id,
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}).ToArray();
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Volatile.Write(ref _todos, materialized);
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}
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}
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// =================
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// Flight Data
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// =================
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// Flight operational status. StatusColor was previously a separate string
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// field that could disagree with Status; we now derive color
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// from this enum deterministically in FlightInfo.StatusColor.
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public enum FlightStatus
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{
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OnTime,
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Delayed,
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Cancelled,
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Boarding,
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}
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public record FlightInfo
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{
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[JsonPropertyName("airline")]
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public string Airline { get; init; } = "";
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[JsonPropertyName("airlineLogo")]
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public string AirlineLogo { get; init; } = "";
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[JsonPropertyName("flightNumber")]
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public string FlightNumber { get; init; } = "";
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[JsonPropertyName("origin")]
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public string Origin { get; init; } = "";
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[JsonPropertyName("destination")]
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public string Destination { get; init; } = "";
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[JsonPropertyName("date")]
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public string Date { get; init; } = "";
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[JsonPropertyName("departureTime")]
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public string DepartureTime { get; init; } = "";
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[JsonPropertyName("arrivalTime")]
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public string ArrivalTime { get; init; } = "";
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[JsonPropertyName("duration")]
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public string Duration { get; init; } = "";
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// Status as enum. Previously `Status` and `StatusColor` were
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// independent free-form strings that could disagree (e.g. "On Time" with
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// color "red"). Now StatusColor is derived from Status and the pair is
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// guaranteed consistent.
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[JsonPropertyName("status")]
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public FlightStatus Status { get; init; } = FlightStatus.OnTime;
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[JsonPropertyName("statusColor")]
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public string StatusColor => Status switch
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{
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FlightStatus.OnTime => "green",
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FlightStatus.Delayed => "yellow",
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FlightStatus.Cancelled => "red",
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FlightStatus.Boarding => "blue",
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_ => "gray",
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};
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// Price as decimal (money) + separate Currency enum. The
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// old shape carried both a display string like "$342" AND a currency
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// code "USD" — redundant and easy to get out of sync.
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[JsonPropertyName("price")]
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public decimal Price { get; init; }
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[JsonPropertyName("currency")]
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public Currency Currency { get; init; } = Currency.USD;
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}
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// =================
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// Agent Factory
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// =================
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public class SalesAgentFactory
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{
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private const string DefaultOpenAiEndpoint = "https://models.inference.ai.azure.com";
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private readonly IConfiguration _configuration;
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private readonly SalesState _state;
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private readonly OpenAIClient _openAiClient;
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private readonly ILogger _logger;
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private readonly ILoggerFactory _loggerFactory;
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private readonly JsonSerializerOptions _jsonSerializerOptions;
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public SalesAgentFactory(IConfiguration configuration, ILoggerFactory loggerFactory, JsonSerializerOptions jsonSerializerOptions)
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{
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_configuration = configuration;
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_state = new();
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_loggerFactory = loggerFactory;
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_logger = loggerFactory.CreateLogger<SalesAgentFactory>();
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_jsonSerializerOptions = jsonSerializerOptions;
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// Get the GitHub token from configuration
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var githubToken = _configuration["GitHubToken"]
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?? throw new InvalidOperationException(
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"GitHubToken not found in configuration. " +
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"Please set it using: dotnet user-secrets set GitHubToken \"<your-token>\" " +
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"or get it using: gh auth token");
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// Log the resolved OpenAI endpoint at startup so operators can tell
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// whether we're hitting a custom OPENAI_BASE_URL or falling back to the
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// GitHub Models / Azure default. Previously the fallback was silent.
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var endpointEnv = Environment.GetEnvironmentVariable("OPENAI_BASE_URL");
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var endpoint = endpointEnv ?? DefaultOpenAiEndpoint;
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if (string.IsNullOrEmpty(endpointEnv))
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{
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_logger.LogInformation(
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"OPENAI_BASE_URL not set; using default OpenAI endpoint: {Endpoint}", endpoint);
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}
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else
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{
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_logger.LogInformation("Using OpenAI endpoint from OPENAI_BASE_URL: {Endpoint}", endpoint);
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}
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_openAiClient = new(
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new ApiKeyCredential(githubToken),
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AimockHeaderPolicy.CreateOpenAIClientOptions(endpoint));
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}
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public AIAgent CreateSalesAgent()
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{
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var chatClient = _openAiClient.GetChatClient("gpt-4o-mini").AsIChatClient();
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var chatClientAgent = new ChatClientAgent(
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chatClient,
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name: "SalesAgent",
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description: @"A helpful assistant that helps manage a sales pipeline.
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You have tools available to get, update, and query sales data.
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You can search for flights and generate dynamic UI.
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When discussing deals or the pipeline, ALWAYS use the get_sales_todos tool to see the current state before mentioning, updating, or discussing deals with the user.",
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tools: [
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AIFunctionFactory.Create(GetSalesTodos, options: new() { Name = "get_sales_todos", SerializerOptions = _jsonSerializerOptions }),
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|
AIFunctionFactory.Create(ManageSalesTodos, options: new() { Name = "manage_sales_todos", SerializerOptions = _jsonSerializerOptions }),
|
|
AIFunctionFactory.Create(QueryData, options: new() { Name = "query_data", SerializerOptions = _jsonSerializerOptions }),
|
|
AIFunctionFactory.Create(GetWeather, options: new() { Name = "get_weather", SerializerOptions = _jsonSerializerOptions }),
|
|
AIFunctionFactory.Create(SearchFlights, options: new() { Name = "search_flights", SerializerOptions = _jsonSerializerOptions }),
|
|
AIFunctionFactory.Create(GenerateA2ui, options: new() { Name = "generate_a2ui", SerializerOptions = _jsonSerializerOptions })
|
|
]);
|
|
|
|
return new SharedStateAgent(chatClientAgent, _jsonSerializerOptions, _loggerFactory.CreateLogger<SharedStateAgent>());
|
|
}
|
|
|
|
// Factory method for the Multimodal demo's vision-capable agent. Reuses
|
|
// the shared OpenAIClient so we don't re-resolve credentials for each
|
|
// mount. No tools — the chat model consumes attachments natively.
|
|
public AIAgent CreateMultimodalAgent() => MultimodalAgentFactory.Create(_openAiClient);
|
|
|
|
public IChatClient CreateMultimodalChatClient() =>
|
|
_openAiClient.GetChatClient("gpt-4o-mini").AsIChatClient();
|
|
|
|
// Factory method for the Beautiful Chat flagship demo. Holds its own
|
|
// per-factory tool surface + in-memory todo store so it doesn't
|
|
// interfere with the sales pipeline state owned by the main agent.
|
|
public AIAgent CreateBeautifulChatAgent()
|
|
{
|
|
var factory = new BeautifulChatAgentFactory(
|
|
_configuration,
|
|
_openAiClient,
|
|
_jsonSerializerOptions,
|
|
_loggerFactory.CreateLogger<BeautifulChatAgentFactory>());
|
|
return factory.Create();
|
|
}
|
|
|
|
// Factory method for the Agent Config demo. Wraps a neutral ChatClientAgent
|
|
// (no tools) in AgentConfigAgent so the tone/expertise/responseLength
|
|
// directives read from AG-UI shared state steer the inner model per-turn.
|
|
public AIAgent CreateAgentConfigAgent()
|
|
{
|
|
var chatClient = _openAiClient.GetChatClient("gpt-4o-mini").AsIChatClient();
|
|
var inner = new ChatClientAgent(
|
|
chatClient,
|
|
name: "AgentConfigInner",
|
|
description: "You are a helpful assistant. Follow the tone, expertise, and response-length directives in the system message for each turn.",
|
|
tools: []);
|
|
return new AgentConfigAgent(inner, _loggerFactory.CreateLogger<AgentConfigAgent>());
|
|
}
|
|
|
|
// Factory method for the Reasoning demo. Delegates to the static
|
|
// ReasoningAgentFactory.Create(...) which expects an IChatClient +
|
|
// ILoggerFactory and wraps a ChatClientAgent in a DelegatingAIAgent that
|
|
// surfaces reasoning-chain events.
|
|
public AIAgent CreateReasoningAgent()
|
|
{
|
|
var chatClient = _openAiClient.GetChatClient("gpt-4o-mini").AsIChatClient();
|
|
return ReasoningAgentFactory.Create(chatClient, _loggerFactory);
|
|
}
|
|
|
|
// =================
|
|
// Tools
|
|
// =================
|
|
|
|
[Description("Get the current sales pipeline")]
|
|
private List<SalesTodo> GetSalesTodos()
|
|
{
|
|
var todos = _state.Todos;
|
|
_logger.LogInformation("Getting sales todos: {Count} items", todos.Count);
|
|
// Return a snapshot list copy — callers (AIFunctionFactory) serialize
|
|
// this and we don't want concurrent ReplaceTodos mutating mid-serialize.
|
|
return todos.ToList();
|
|
}
|
|
|
|
[Description("Update the sales pipeline")]
|
|
private string ManageSalesTodos([Description("The updated list of sales todos")] List<SalesTodo> todos)
|
|
{
|
|
ArgumentNullException.ThrowIfNull(todos);
|
|
_logger.LogInformation("Updating sales todos: {Count} items", todos.Count);
|
|
_state.ReplaceTodos(todos);
|
|
return "Pipeline updated";
|
|
}
|
|
|
|
[Description("Query financial data for charts")]
|
|
private string QueryData([Description("The query to run")] string query)
|
|
{
|
|
_logger.LogInformation("Querying data: {Query}", query);
|
|
var categories = new[] { "Engineering", "Marketing", "Sales", "Support", "Design" };
|
|
var random = new Random();
|
|
var results = categories.Select(c => new { category = c, value = random.Next(10000, 100000), quarter = "Q1 2026" });
|
|
return JsonSerializer.Serialize(results);
|
|
}
|
|
|
|
[Description("Get the weather for a given location. Ensure location is fully spelled out.")]
|
|
private WeatherInfo GetWeather([Description("The location to get the weather for")] string location)
|
|
{
|
|
_logger.LogInformation("Getting weather for: {Location}", location);
|
|
return new()
|
|
{
|
|
City = location,
|
|
Temperature = 20,
|
|
Conditions = "sunny",
|
|
Humidity = 50,
|
|
WindSpeed = 10,
|
|
FeelsLike = 25
|
|
};
|
|
}
|
|
// @endregion[weather-tool-backend]
|
|
|
|
[Description("Search for available flights between two cities. Returns flight data with A2UI rendering.")]
|
|
private object SearchFlights(
|
|
[Description("Origin airport code or city")] string origin,
|
|
[Description("Destination airport code or city")] string destination)
|
|
{
|
|
_logger.LogInformation("Searching flights from {Origin} to {Destination}", origin, destination);
|
|
|
|
var flights = new List<FlightInfo>
|
|
{
|
|
new() { Airline = "United Airlines", AirlineLogo = "UA", FlightNumber = "UA 2451",
|
|
Origin = origin, Destination = destination, Date = "2026-05-15",
|
|
DepartureTime = "08:00", ArrivalTime = "16:35", Duration = "5h 35m",
|
|
Status = FlightStatus.OnTime, Price = 342m, Currency = Currency.USD },
|
|
new() { Airline = "Delta Air Lines", AirlineLogo = "DL", FlightNumber = "DL 1087",
|
|
Origin = origin, Destination = destination, Date = "2026-05-15",
|
|
DepartureTime = "10:30", ArrivalTime = "19:15", Duration = "5h 45m",
|
|
Status = FlightStatus.OnTime, Price = 289m, Currency = Currency.USD },
|
|
new() { Airline = "JetBlue Airways", AirlineLogo = "B6", FlightNumber = "B6 524",
|
|
Origin = origin, Destination = destination, Date = "2026-05-15",
|
|
DepartureTime = "14:15", ArrivalTime = "22:50", Duration = "5h 35m",
|
|
Status = FlightStatus.OnTime, Price = 315m, Currency = Currency.USD },
|
|
};
|
|
|
|
var flightSchema = new object[]
|
|
{
|
|
new { id = "root", component = "Row",
|
|
children = new { componentId = "flight-card", path = "/flights" }, gap = 16 },
|
|
new { id = "flight-card", component = "FlightCard",
|
|
airline = new { path = "airline" }, airlineLogo = new { path = "airlineLogo" },
|
|
flightNumber = new { path = "flightNumber" }, origin = new { path = "origin" },
|
|
destination = new { path = "destination" }, date = new { path = "date" },
|
|
departureTime = new { path = "departureTime" }, arrivalTime = new { path = "arrivalTime" },
|
|
duration = new { path = "duration" }, status = new { path = "status" },
|
|
price = new { path = "price" },
|
|
action = new { @event = new { name = "book_flight",
|
|
context = new { flightNumber = new { path = "flightNumber" },
|
|
origin = new { path = "origin" }, destination = new { path = "destination" },
|
|
price = new { path = "price" } } } } }
|
|
};
|
|
|
|
var operations = new object[]
|
|
{
|
|
new { version = "v0.9", createSurface = new { surfaceId = "flight-search-results",
|
|
catalogId = "copilotkit://app-dashboard-catalog" } },
|
|
new { version = "v0.9", updateComponents = new { surfaceId = "flight-search-results",
|
|
components = flightSchema } },
|
|
new { version = "v0.9", updateDataModel = new { surfaceId = "flight-search-results",
|
|
path = "/", value = new { flights } } }
|
|
};
|
|
|
|
return new { a2ui_operations = operations };
|
|
}
|
|
|
|
[Description("Generate dynamic A2UI components using a secondary LLM call")]
|
|
private async Task<object> GenerateA2ui(
|
|
[Description("Conversation context to generate UI from.")] string context = "",
|
|
CancellationToken cancellationToken = default)
|
|
{
|
|
context ??= "";
|
|
|
|
// Correlation id so server logs can be tied to the structured error
|
|
// we return to the caller / LLM. Callers can quote this in bug
|
|
// reports without leaking stack traces or internal paths. 16 hex
|
|
// chars = 64 bits of entropy — matches ``SalesTodo.NewPending``'s
|
|
// ``Id`` field for the same rationale; 8 chars (~32 bits) has a
|
|
// non-trivial collision risk at operational scale and we want
|
|
// errorIds to uniquely correlate log lines even across busy
|
|
// deployments.
|
|
var errorId = Guid.NewGuid().ToString("n")[..16];
|
|
var userContent = string.IsNullOrWhiteSpace(context)
|
|
? "Show me a sales dashboard with total revenue, new customers, and conversion rate metrics. Include a pie chart of revenue by category and a bar chart of monthly sales."
|
|
: context;
|
|
_logger.LogInformation("Generating A2UI (errorId={ErrorId}) for: {Request}", errorId, userContent);
|
|
|
|
// The outbound LLM call is awaited directly rather than blocked via
|
|
// .GetAwaiter().GetResult(), which would tie up a thread-pool thread
|
|
// for the full network round-trip.
|
|
//
|
|
// Exception handling is deliberately narrow: we catch only the
|
|
// expected failure modes (transport, upstream non-success, malformed
|
|
// JSON, shape mismatch, cancellation). Programmer errors like
|
|
// NullReferenceException or resource-exhaustion errors like
|
|
// OutOfMemoryException propagate unchanged so they surface in logs
|
|
// rather than being silently remapped to "upstream error". The
|
|
// user-facing structured error we return does NOT include
|
|
// ex.Message verbatim — we log the full exception server-side with
|
|
// the correlation id so operators can correlate without exposing
|
|
// provider internals to the caller.
|
|
string? content;
|
|
try
|
|
{
|
|
content = await A2uiSecondaryToolCaller.GetDesignToolArgumentsAsync(
|
|
_configuration,
|
|
"Generate a useful A2UI dashboard.",
|
|
userContent,
|
|
cancellationToken).ConfigureAwait(false);
|
|
}
|
|
catch (HttpRequestException ex)
|
|
{
|
|
// The secondary caller uses a raw HttpClient, so a non-success
|
|
// upstream status surfaces as HttpRequestException carrying a
|
|
// StatusCode (.NET 5+). Distinguish a definite upstream HTTP error
|
|
// (4xx/5xx) — which is NOT a transport problem and may not be worth
|
|
// a blind retry — from a transport/connection failure where
|
|
// StatusCode is null (DNS, TLS, connection refused, socket reset).
|
|
// The previous code routed every HttpRequestException to
|
|
// "upstream_unavailable" ("retry"), which mislabeled a 401/400/429
|
|
// as a transient reachability issue.
|
|
if (ex.StatusCode is { } status)
|
|
{
|
|
// 4xx (e.g. 400 bad request, 401 auth, 429 rate limit) are
|
|
// non-retryable from the model's perspective: retrying the same
|
|
// request unchanged will fail the same way. We log the status
|
|
// server-side but do not surface it verbatim to the model.
|
|
_logger.LogError(ex, "GenerateA2ui (errorId={ErrorId}): upstream returned error status {Status}", errorId, (int)status);
|
|
return StructuredError("upstream_error", "The upstream AI service returned an error.", "Try rephrasing the request — retrying the same request unchanged is unlikely to help.", errorId);
|
|
}
|
|
|
|
_logger.LogError(ex, "GenerateA2ui (errorId={ErrorId}): upstream transport failure", errorId);
|
|
return StructuredError("upstream_unavailable", "The upstream AI service is currently unreachable. Please retry.", "Retry the request in a few seconds.", errorId);
|
|
}
|
|
catch (A2uiUpstreamResponseException ex)
|
|
{
|
|
// 2xx status but a malformed/unexpected body shape. The upstream
|
|
// body is captured on the exception so we log the provider detail
|
|
// with the correlation id, but we return a categorical error
|
|
// without leaking the body to the model.
|
|
_logger.LogError(ex, "GenerateA2ui (errorId={ErrorId}): upstream returned malformed response body: {Body}", errorId, ex.Body);
|
|
return StructuredError("upstream_error", "The upstream AI service returned an unexpected response.", "Try rephrasing the request or retrying later.", errorId);
|
|
}
|
|
catch (OperationCanceledException)
|
|
{
|
|
// Cancellation is a normal control-flow signal. Log at Information
|
|
// level with the correlation id so operators can tie the log entry
|
|
// to any client-side retry, but don't treat it as an error. Rethrow
|
|
// to preserve ambient cancellation semantics for the caller.
|
|
_logger.LogInformation("GenerateA2ui (errorId={ErrorId}): cancelled", errorId);
|
|
throw;
|
|
}
|
|
|
|
// result.Text can legitimately return null (upstream returned no text
|
|
// content — e.g. model refused, empty completion, content filter).
|
|
// BuildA2uiResponseFromContent requires non-null input; catching the
|
|
// null here returns a structured error instead of letting an NRE
|
|
// escape uncaught and break the structured-error contract.
|
|
if (string.IsNullOrEmpty(content))
|
|
{
|
|
_logger.LogError("GenerateA2ui (errorId={ErrorId}): upstream returned no text content", errorId);
|
|
return StructuredError("empty_llm_output", "Model returned no text content", "Retry or check model availability", errorId);
|
|
}
|
|
|
|
return BuildA2uiResponseFromContent(content, errorId, _logger);
|
|
}
|
|
|
|
/// <summary>
|
|
/// Parses an LLM-produced string into an A2UI operations payload, or a
|
|
/// structured error if the content is malformed, null, or empty. Exposed
|
|
/// as <c>internal static</c> so unit tests can exercise each error branch
|
|
/// (empty_llm_output, JsonException, shape mismatch, ArgumentException)
|
|
/// directly without standing up an OpenAI client.
|
|
/// </summary>
|
|
/// <remarks>
|
|
/// Null/empty content is reported as a structured <c>empty_llm_output</c>
|
|
/// error rather than thrown as an NRE. This matches the contract of the
|
|
/// <see cref="GenerateA2ui"/> caller (which guards null at the call site)
|
|
/// and ensures the helper itself is robust to defensive / test callers
|
|
/// that pass through whatever the upstream produced.
|
|
/// </remarks>
|
|
internal static object BuildA2uiResponseFromContent(string? content, string errorId, ILogger logger)
|
|
{
|
|
ArgumentNullException.ThrowIfNull(errorId);
|
|
ArgumentNullException.ThrowIfNull(logger);
|
|
|
|
if (string.IsNullOrEmpty(content))
|
|
{
|
|
logger.LogError("GenerateA2ui (errorId={ErrorId}): content was null or empty", errorId);
|
|
return StructuredError("empty_llm_output", "Model returned no text content", "Retry or check model availability", errorId);
|
|
}
|
|
|
|
// JsonDocument.Parse can throw JsonException on malformed input.
|
|
// This is isolated from the parse-the-shape errors below so we can
|
|
// return a precise remediation message for each failure mode.
|
|
JsonDocument? jsonDoc;
|
|
try
|
|
{
|
|
jsonDoc = JsonDocument.Parse(content);
|
|
}
|
|
catch (JsonException ex)
|
|
{
|
|
logger.LogError(ex, "GenerateA2ui (errorId={ErrorId}): LLM returned malformed JSON", errorId);
|
|
return StructuredError("malformed_llm_output", "The UI generator produced output that wasn't valid JSON.", "Ask the user to rephrase their request — the model sometimes adds explanatory text around the JSON.", errorId);
|
|
}
|
|
|
|
using (jsonDoc)
|
|
{
|
|
try
|
|
{
|
|
var args = jsonDoc.RootElement;
|
|
|
|
if (args.ValueKind != JsonValueKind.Object)
|
|
{
|
|
logger.LogError("GenerateA2ui (errorId={ErrorId}): LLM output was JSON but not an object (kind={Kind})", errorId, args.ValueKind);
|
|
return StructuredError("malformed_llm_output", "The UI generator output was JSON but not the expected object shape.", "Retry or adjust the prompt.", errorId);
|
|
}
|
|
|
|
var surfaceId = args.TryGetProperty("surfaceId", out var sid) ? sid.GetString() ?? "dynamic-surface" : "dynamic-surface";
|
|
var catalogId = args.TryGetProperty("catalogId", out var cid) ? cid.GetString() ?? "copilotkit://app-dashboard-catalog" : "copilotkit://app-dashboard-catalog";
|
|
|
|
if (!args.TryGetProperty("components", out var componentsElement) || componentsElement.ValueKind != JsonValueKind.Array)
|
|
{
|
|
logger.LogError("GenerateA2ui (errorId={ErrorId}): LLM output missing 'components' array", errorId);
|
|
return StructuredError("malformed_llm_output", "The UI generator output didn't include a components array.", "Retry the request.", errorId);
|
|
}
|
|
|
|
var ops = new List<object>
|
|
{
|
|
new { version = "v0.9", createSurface = new { surfaceId, catalogId } },
|
|
new
|
|
{
|
|
version = "v0.9",
|
|
updateComponents = new
|
|
{
|
|
surfaceId,
|
|
components = JsonSerializer.Deserialize<object[]>(componentsElement.GetRawText()),
|
|
},
|
|
},
|
|
};
|
|
|
|
if (args.TryGetProperty("data", out var dataElement) && dataElement.ValueKind != JsonValueKind.Null)
|
|
{
|
|
ops.Add(new
|
|
{
|
|
version = "v0.9",
|
|
updateDataModel = new
|
|
{
|
|
surfaceId,
|
|
path = "/",
|
|
value = JsonSerializer.Deserialize<object>(dataElement.GetRawText()),
|
|
},
|
|
});
|
|
}
|
|
|
|
return new { a2ui_operations = ops };
|
|
}
|
|
catch (JsonException ex)
|
|
{
|
|
logger.LogError(ex, "GenerateA2ui (errorId={ErrorId}): shape deserialization failed", errorId);
|
|
return StructuredError("malformed_llm_output", "The UI generator output didn't match the expected structure.", "Retry the request.", errorId);
|
|
}
|
|
catch (ArgumentException ex)
|
|
{
|
|
logger.LogError(ex, "GenerateA2ui (errorId={ErrorId}): argument validation failed", errorId);
|
|
return StructuredError("invalid_argument", "One of the arguments was invalid.", "Check the request shape and retry.", errorId);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Structured error payload returned to the LLM/caller. We deliberately
|
|
// keep this short and categorical — no raw exception messages, no paths,
|
|
// no internal identifiers beyond the correlation id.
|
|
internal static object StructuredError(string category, string message, string remediation, string errorId) =>
|
|
new
|
|
{
|
|
error = category,
|
|
message,
|
|
remediation,
|
|
errorId,
|
|
};
|
|
}
|
|
|
|
// =================
|
|
// Data Models
|
|
// =================
|
|
|
|
// SalesStateSnapshot is the wire-format shape: what the model emits via
|
|
// JSON Schema and what we serialize as DataContent on the outbound side.
|
|
// Previously this was a separate mutable class that duplicated SalesState.
|
|
// To avoid the previous duplication, this is an immutable record wrapping the same list type as
|
|
// SalesState exposes, with explicit JsonPropertyName so the schema name
|
|
// doesn't drift from PascalCase to camelCase under default policies.
|
|
public sealed record SalesStateSnapshot(
|
|
[property: JsonPropertyName("todos")] IReadOnlyList<SalesTodo> Todos)
|
|
{
|
|
public SalesStateSnapshot() : this(Array.Empty<SalesTodo>()) { }
|
|
}
|
|
|
|
public class WeatherInfo
|
|
{
|
|
[JsonPropertyName("temperature")]
|
|
public int Temperature { get; init; }
|
|
|
|
[JsonPropertyName("conditions")]
|
|
public string Conditions { get; init; } = string.Empty;
|
|
|
|
[JsonPropertyName("humidity")]
|
|
public int Humidity { get; init; }
|
|
|
|
[JsonPropertyName("wind_speed")]
|
|
public int WindSpeed { get; init; }
|
|
|
|
[JsonPropertyName("feels_like")]
|
|
public int FeelsLike { get; init; }
|
|
|
|
[JsonPropertyName("city")]
|
|
public string City { get; init; } = "";
|
|
}
|
|
|
|
public partial class Program { }
|
|
|
|
// =================
|
|
// Serializer Context
|
|
// =================
|
|
[JsonSerializable(typeof(SalesStateSnapshot))]
|
|
[JsonSerializable(typeof(SalesTodo))]
|
|
[JsonSerializable(typeof(List<SalesTodo>))]
|
|
[JsonSerializable(typeof(IReadOnlyList<SalesTodo>))]
|
|
[JsonSerializable(typeof(SalesStage))]
|
|
[JsonSerializable(typeof(Currency))]
|
|
[JsonSerializable(typeof(WeatherInfo))]
|
|
[JsonSerializable(typeof(FlightInfo))]
|
|
[JsonSerializable(typeof(List<FlightInfo>))]
|
|
[JsonSerializable(typeof(FlightStatus))]
|
|
[JsonSerializable(typeof(DateOnly))]
|
|
internal sealed partial class SalesAgentSerializerContext : JsonSerializerContext;
|